{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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v9evXL9L0w7Kzsxk7dixRUVHMmTOHypUrM3r0aJYuXWoJwZgAR00KqjoJuBCY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57a823eb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "X = np.array([6, 8, 10, 14, 18]).reshape(-1, 1)\n",
    "y = [7, 9, 13, 17.5, 18]\n",
    "\n",
    "plt.figure()\n",
    "plt.title('Pizza price plotted against diameter')\n",
    "plt.xlabel('Diameter in inches')\n",
    "plt.ylabel('Price in dollars')\n",
    "plt.plot(X, y, 'ko')\n",
    "plt.axis([0, 25, 0, 25])\n",
    "plt.grid(True)\n",
    "plt.plot([0, 25], [1.97, 26.37], color='k', linestyle='-', linewidth=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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GaNrc9qBatWpcunQJGxsbPv74Y3r37k3mzJktDp7zKrm5uXH58mViY2O5fPmy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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f57a5e177f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.title('Pizza price plotted against diameter')\n",
    "plt.xlabel('Diameter in inches')\n",
    "plt.ylabel('Price in dollars')\n",
    "plt.plot(X, y, 'ko')\n",
    "plt.axis([0, 25, 0, 25])\n",
    "plt.grid(True)\n",
    "plt.plot([0, 25], [0, 28], color='k', linestyle='-', linewidth=2)\n",
    "plt.plot([0, 25], [1, 29], color='k', linestyle='--', linewidth=2)\n",
    "plt.plot([-1, 25], [0.5, 27], color='k', linestyle='-.', linewidth=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
